ChatGPT
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From Prompting to Understanding LLMs

Like most developers, my initial experience with LLMs was pretty straightforward. I made API calls, experimented with prompts, tweaked instructions, and tried to get better responses from the model. Most of my focus was on the application side: how to integrate an LLM, structure prompts, and use the responses to build useful features. The model… Continue reading
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AutoMapper Went Commercial: Your Four Options and How to Migrate

AutoMapper moved to a commercial licence at $4,000/yr. Your four real options, with migration steps for Mapperly, Mapster and hand-written mapping. Continue reading
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Why Prompt Engineering Isn’t a Reliable Skill

Prompt engineering is tweaking inputs to get desired outputs from AI models like ChatGPT. It’s not engineering—it’s trial and error. Why Prompt Engineering Falls Short: 1. No Foundational Principles: Unlike engineering, it lacks structured techniques or frameworks. It’s about guessing, not systematic problem-solving. 2. Unpredictable and Non-Reproducible: A prompt that works today can fail tomorrow.… Continue reading
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Supercharging Your Coding Journey: Unleashing the Power of ChatGPT and GitHub Copilot

Discover how ChatGPT and GitHub Copilot revolutionize the way developers code. With intelligent assistance, real-time suggestions, and comprehensive knowledge, these AI-powered tools become invaluable companions in your coding journey. From syntax help to algorithm design, error debugging to code optimization, and continuous learning, embrace the power of these tools and unlock your coding potential like… Continue reading
